Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chron...
Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data
About this item
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Author / Creator
Publisher
England: BMJ Publishing Group Ltd and British Cardiovascular Society
Journal title
Language
English
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Publisher
England: BMJ Publishing Group Ltd and British Cardiovascular Society
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Scope and Contents
Contents
ObjectivesTo evaluate a predictive model for robust estimation of daily out-of-hospital cardiac arrest (OHCA) incidence using a suite of machine learning (ML) approaches and high-resolution meteorological and chronological data.MethodsIn this population-based study, we combined an OHCA nationwide registry and high-resolution meteorological and chro...
Alternative Titles
Full title
Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8223656
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8223656
Other Identifiers
ISSN
1355-6037
E-ISSN
1468-201X
DOI
10.1136/heartjnl-2020-318726
